Demographics details for Fort washington, MD vs Columbus, OH

Population Overview

Compare main population characteristics in Fort washington, MD vs Columbus, OH.

Data Fort washington Columbus
Population 25,825 907,971
Median Age 44.1 years 32.7 years
Median Income $143,623 $62,994
Married Families 43.0% 29.0%
Poverty Level 5% 14%
Unemployment Rate 3.5 5.0

Population Comparison: Fort washington vs Columbus

  • The population in Columbus is higher at 907,971, compared to 25,825 in Fort washington.
  • Residents in Fort washington have a higher median age of 44.1 years compared to 32.7 years in Columbus.
  • Fort washington has a higher median income of $143,623 compared to $62,994 in Columbus.
  • A higher percentage of married families is found in Fort washington at 43.0% compared to 29.0% in Columbus.
  • The poverty level is higher in Columbus at 14%, compared to 5% in Fort washington.
  • Columbus has a higher unemployment rate at 5.0% compared to 3.5% in Fort washington.

Demographics

Demographics Fort washington vs Columbus provide insight into the diversity of the communities to compare.

Demographic Fort washington Columbus
Black 61 29
White 8 51
Asian 8 6
Hispanic 17 7
Two or More Races 6 7
American Indian Data is updating Data is updating

Demographics Comparison: Fort washington vs Columbus

  • A higher percentage of Black residents are in Fort washington at 61% compared to 29% in Columbus.
  • The percentage of White residents is higher in Columbus at 51% compared to 8% in Fort washington.
  • The Asian population is larger in Fort washington at 8% compared to 6% in Columbus.
  • The Hispanic community is larger in Fort washington at 17% compared to 7% in Columbus.
  • The percentage of residents identifying as two or more races is higher in Columbus at 7%, compared to 6% in Fort washington.
  • The percentage of American Indian residents is the same in both Fort washington and Columbus at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Fort washington Columbus
Mental Health Not Good 12.5% 18.4%
Physical Health Not Good 7.9% 12.2%
Depression 11.6% 23.9%
Smoking 9.6% 19.6%
Binge Drinking 12.0% 17.7%
Obesity 37.7% 38.0%
Disability Percentage 9.0% 11.0%

Health Statistics Comparison: Fort washington vs Columbus

  • In Columbus, a higher percentage report poor mental health at 18.4% compared to 12.5% in Fort washington.
  • Higher depression rates are seen in Columbus at 23.9% versus 11.6% in Fort washington.
  • Columbus has a higher smoking rate at 19.6% compared to 9.6% in Fort washington.
  • More residents engage in binge drinking in Columbus at 17.7% compared to 12.0% in Fort washington.
  • Columbus has higher obesity rates at 38.0% compared to 37.7% in Fort washington.
  • There is a higher percentage of disabled individuals in Columbus at 11.0% compared to 9.0% in Fort washington.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Fort washington Columbus
No Schooling 1.2% (297) 1.4% (12,592)
High School Diploma 14.4% (3,710) 14.4% (130,716)
Less than High School 8.3% (2,138) 9.7% (87,770)
Bachelor's Degree and Higher 31.8% (8,208) 25.2% (229,071)

Education Levels Comparison: Fort washington vs Columbus

  • In Columbus, a larger percentage of residents lack formal schooling at 1.4% compared to 1.2% in Fort washington.
  • Both cities have the same percentage of residents with high school diplomas at 14.4%.
  • The percentage of residents with less than a high school education is higher in Columbus at 9.7%, compared to 8.3% in Fort washington.
  • A higher percentage of residents in Fort washington hold a bachelor's degree or higher at 31.8% compared to 25.2% in Columbus.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.